Abstract Intelligent Visual Surveillance is an important and challenging research field of
image processing and computer vision. To prevent the ecological and economical losses …

During the last few years, abandoned object detection has emerged as a hot topic in the
video-surveillance community. As a consequence, a myriad of systems has been proposed …

Image-based surveillance systems are widely employed toward safety and security
applications in many fields. Cameras, that are connected over an IP network for monitoring …

Animal biometrics is an emerging research field that develops quantified methodologies for
representing and detecting the visual appearances of animal based on generic features and …

In this study, the authors present a system for shadow detection and removal from images
using machine learning technique. A machine learning algorithm ESRT (enhanced …

Recent terrorist attacks in major cities around the world have brought many casualties
among innocent citizens. One potential threat is represented by abandoned luggage items …

Abandoned baggage poses a potential threat to public safety, which needs to be monitored
to avoid catastrophic effects. Identifying left baggage, the owner of the baggage, and the …

Illegally parked vehicles on the urban road may create a traffic flow problem as well as a
potential traffic accident, such as crashing between parked and other vehicles. Thus, the …

In tasks such as abandoned luggage detection and stopped car detection, stationary
foreground objects (SFOs) need to be detected and properly classified in real time. Different …

Abandoned objects detection is one of the most challenging tasks in intelligent video
surveillance systems. In this paper we present a new method for detecting abandoned …